研究目的
Investigating the energy and environmental impact of a rooftop photovoltaic system in Greece, focusing on its embodied energy and CO2 emissions, and calculating its energy and CO2 payback times.
研究成果
The study concludes that the energy and CO2 payback times for the rooftop PV system in Greece are relatively low, indicating a favorable environmental impact. However, these values are underestimated due to the exclusion of manufacturing energy and direct energy consumption for transportation and installation. Future research should focus on obtaining more reliable values for embodied energy and emissions, considering different installation sites in Greece.
研究不足
The study underestimates the embodied energy by not accounting for the energy required for the manufacturing of the PV system and the energy consumed for transportation and installation. The lack of a comprehensive Hellenic database for embodied energy and CO2 coefficients also limits the accuracy of the results.
1:Experimental Design and Method Selection:
The study uses Life Cycle Analysis (LCA) to assess the energy consumption and environmental impact of a rooftop PV system. It involves calculating the embodied energy and CO2 emissions of the system's materials and estimating the annual energy production based on performance data.
2:Sample Selection and Data Sources:
A typical commercial rooftop PV system installed in Greece is selected as a case study. Data for solar radiation and system performance are obtained from the PVGIS software.
3:List of Experimental Equipment and Materials:
The PV system includes poly-Si panels, an inverter, aluminum bases, and cables. Materials such as aluminum, glass, silicon, copper, EVA, PVC, galvanized steel, plastic, rubber, iron, and ceramics are considered for their embodied energy and CO2 emissions.
4:Experimental Procedures and Operational Workflow:
The study involves quantifying the performance of the PV system, estimating the embodied energy and CO2 emissions, and calculating the energy and CO2 payback times using specific formulas.
5:Data Analysis Methods:
The analysis includes comparing the calculated payback times with values from similar studies in the literature to assess the system's performance and environmental impact.
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